class DMatrix extends AnyRef
DMatrix for xgboost.
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new
DMatrix(columnBatch: ColumnBatch, missing: Float, nthread: Int)
Create the normal DMatrix from column array interface
Create the normal DMatrix from column array interface
- columnBatch
the XGBoost ColumnBatch to provide the cuda array interface of feature columns
- missing
missing value
- nthread
threads number
- Exceptions thrown
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new
DMatrix(handle: Long)
used for DMatrix slice
used for DMatrix slice
- Attributes
- protected[java]
-
new
DMatrix(matrix: BigDenseMatrix, missing: Float)
create DMatrix from dense matrix
create DMatrix from dense matrix
- matrix
instance of BigDenseMatrix
- missing
the specified value to represent the missing value
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new
DMatrix(data: Array[Float], nrow: Int, ncol: Int, missing: Float)
create DMatrix from dense matrix
create DMatrix from dense matrix
- data
data values
- nrow
number of rows
- ncol
number of columns
- missing
the specified value to represent the missing value
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new
DMatrix(matrix: BigDenseMatrix)
create DMatrix from a BigDenseMatrix
create DMatrix from a BigDenseMatrix
- matrix
instance of BigDenseMatrix
- Exceptions thrown
XGBoostError
native error
- new DMatrix(headers: Array[Long], indices: Array[Int], data: Array[Float], st: SparseType, shapeParam: Int, missing: Float, nthread: Int)
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new
DMatrix(headers: Array[Long], indices: Array[Int], data: Array[Float], st: SparseType, shapeParam: Int)
Create DMatrix from Sparse matrix in CSR/CSC format.
Create DMatrix from Sparse matrix in CSR/CSC format.
- headers
The row index of the matrix.
- indices
The indices of presenting entries.
- data
The data content.
- st
Type of sparsity.
- shapeParam
when st is CSR, it specifies the column number, otherwise it is taken as row number
- Exceptions thrown
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new
DMatrix(dataPath: String)
Create DMatrix by loading libsvm file from dataPath
Create DMatrix by loading libsvm file from dataPath
- dataPath
The path to the data.
- Exceptions thrown
- new DMatrix(iter: Iterator[LabeledPoint], cacheInfo: String)
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new
DMatrix(data: Array[Float], nrow: Int, ncol: Int)
create DMatrix from dense matrix
create DMatrix from dense matrix
- data
data values
- nrow
number of rows
- ncol
number of columns
- Annotations
- @Deprecated
- Deprecated
- Exceptions thrown
XGBoostError
native error
-
new
DMatrix(headers: Array[Long], indices: Array[Int], data: Array[Float], st: SparseType)
Create DMatrix from Sparse matrix in CSR/CSC format.
Create DMatrix from Sparse matrix in CSR/CSC format.
- headers
The row index of the matrix.
- indices
The indices of presenting entries.
- data
The data content.
- st
Type of sparsity.
- Annotations
- @Deprecated
- Deprecated
- Exceptions thrown
Value Members
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final
def
!=(arg0: Any): Boolean
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def
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def
==(arg0: Any): Boolean
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def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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- def dispose(): Unit
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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- def finalize(): Unit
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def
getBaseMargin(): Array[Float]
Get base margin of the DMatrix.
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final
def
getClass(): Class[_]
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- @native()
-
def
getFeatureNames(): Array[String]
Get feature names
Get feature names
- returns
an array of feature names to be returned
- Exceptions thrown
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def
getFeatureTypes(): Array[String]
Get feature types
Get feature types
- returns
an array of feature types to be returned
- Exceptions thrown
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def
getGroup(): Array[Int]
Get group sizes of DMatrix
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def
getHandle(): Long
Get the handle
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def
getLabel(): Array[Float]
get label values
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def
getWeight(): Array[Float]
get weight of the DMatrix
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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final
def
ne(arg0: AnyRef): Boolean
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def
nonMissingNum(): Long
Get the number of non-missing values of DMatrix.
Get the number of non-missing values of DMatrix.
- returns
The number of non-missing values
- Exceptions thrown
XGBoostError
native error
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final
def
notify(): Unit
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- @native()
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final
def
notifyAll(): Unit
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def
rowNum(): Long
get the row number of DMatrix
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def
saveBinary(filePath: String): Unit
save DMatrix to filePath
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def
setBaseMargin(baseMargin: Array[Array[Float]]): Unit
Set base margin (initial prediction).
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def
setBaseMargin(baseMargin: Array[Float]): Unit
Set base margin (initial prediction).
Set base margin (initial prediction).
The margin must have the same number of elements as the number of rows in this matrix.
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def
setBaseMargin(column: Column): Unit
Set base margin of DMatrix from cuda array interface
Set base margin of DMatrix from cuda array interface
- column
the XGBoost Column to provide the cuda array interface of base margin column
- Exceptions thrown
XGBoostError
native error
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def
setFeatureNames(values: Array[String]): Unit
Set feature names
Set feature names
- values
feature names to be set
- Exceptions thrown
-
def
setFeatureTypes(values: Array[String]): Unit
Set feature types
Set feature types
- values
feature types to be set
- Exceptions thrown
-
def
setGroup(group: Array[Int]): Unit
Set group sizes of DMatrix (used for ranking)
Set group sizes of DMatrix (used for ranking)
- group
group size as array
- Exceptions thrown
XGBoostError
native error
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def
setLabel(labels: Array[Float]): Unit
set label of dmatrix
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def
setLabel(column: Column): Unit
Set label of DMatrix from cuda array interface
Set label of DMatrix from cuda array interface
- column
the XGBoost Column to provide the cuda array interface of label column
- Exceptions thrown
XGBoostError
native error
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def
setWeight(weights: Array[Float]): Unit
set weight of each instance
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def
setWeight(column: Column): Unit
Set weight of DMatrix from cuda array interface
Set weight of DMatrix from cuda array interface
- column
the XGBoost Column to provide the cuda array interface of weight column
- Exceptions thrown
XGBoostError
native error
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def
slice(rowIndex: Array[Int]): DMatrix
Slice the DMatrix and return a new DMatrix that only contains
rowIndex
.Slice the DMatrix and return a new DMatrix that only contains
rowIndex
.- rowIndex
row index
- returns
sliced new DMatrix
- Exceptions thrown
XGBoostError
native error
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
wait(arg0: Long, arg1: Int): Unit
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wait(arg0: Long): Unit
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